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Interpretation of Death Rates Data

Death Rate Report for Tennessee by County

All Cancer Sites, 2016-2020

All Races (includes Hispanic), Both Sexes, All Ages

Sorted by Name

Explanation of Column Headers

Objective - The objective of 122.7 is from the Healthy People 2020 project done by the Centers for Disease Control and Prevention.

Death Rate (95% Confidence Interval) - The death rate is based upon 100,000 people and is for 5 year(s). Rates are age-adjusted by 5-year age groups to the 2000 U.S. standard million population (the Healthy People 2020 goals are based on rates adjusted using different methods but the differences should be minimal).

Recent Trends - This is an interpretation of the AAPC:

AAPC (95% Confidence Interval) - The Average Annual Percent Change is the change in rate over time. These AAPCs are based upon APCs that were calculated by Joinpoint Regression Program


Other Notes


Line by Line Interpretation of the Report


Tennessee


United States


Wilson County


Williamson County


White County


Weakley County


Wayne County


Washington County


Warren County


Van Buren County


Union County


Unicoi County


Trousdale County


Tipton County


Sumner County


Sullivan County


Stewart County


Smith County


Shelby County


Sevier County


Sequatchie County


Scott County


Rutherford County


Robertson County


Roane County


Rhea County


Putnam County


Polk County


Pickett County


Perry County


Overton County


Obion County


Morgan County


Moore County


Montgomery County


Monroe County


Meigs County


McNairy County


McMinn County


Maury County


Marshall County


Marion County


Madison County


Macon County


Loudon County


Lincoln County


Lewis County


Lawrence County


Lauderdale County


Lake County


Knox County


Johnson County


Jefferson County


Jackson County


Humphreys County


Houston County


Hickman County


Henry County


Henderson County


Haywood County


Hawkins County


Hardin County


Hardeman County


Hancock County


Hamilton County


Hamblen County


Grundy County


Greene County


Grainger County


Giles County


Gibson County


Franklin County


Fentress County


Fayette County


Dyer County


Dickson County


Decatur County


DeKalb County


Davidson County


Cumberland County


Crockett County


Coffee County


Cocke County


Clay County


Claiborne County


Chester County


Cheatham County


Carter County


Carroll County


Cannon County


Campbell County


Bradley County


Blount County


Bledsoe County


Benton County


Bedford County


Anderson County




Notes:
Created by statecancerprofiles.cancer.gov on 03/28/2024 6:42 pm.

State Cancer Registries may provide more current or more local data.
Trend
Rising when 95% confidence interval of average annual percent change is above 0.
Stable when 95% confidence interval of average annual percent change includes 0.
Falling when 95% confidence interval of average annual percent change is below 0.

† Death data provided by the National Vital Statistics System public use data file. Death rates calculated by the National Cancer Institute using SEER*Stat. Death rates are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). The Healthy People 2030 goals are based on rates adjusted using different methods but the differences should be minimal. Population counts for denominators are based on Census populations as modified by NCI.
The US Population Data File is used with mortality data.
‡ The Average Annual Percent Change (AAPC) is based on the APCs calculated by Joinpoint. Due to data availability issues, the time period used in the calculation of the joinpoint regression model may differ for selected counties.
⋔ Results presented with the CI*Rank statistics help show the usefulness of ranks. For example, ranks for relatively rare diseases or less populated areas may be essentially meaningless because of their large variability, but ranks for more common diseases in densely populated regions can be very useful. More information about methodology can be found on the CI*Rank website.


Please note that the data comes from different sources. Due to different years of data availability, most of the trends are AAPCs based on APCs but some are APCs calculated in SEER*Stat. Please refer to the source for each graph for additional information.
Data for United States does not include Puerto Rico.

When displaying county information, the CI*Rank for the state is not shown because it's not comparable. To see the state CI*Rank please view the statistics at the US By State level.